SynthesisVeterinary medicine and science2025
A Systematic Review of Aflatoxin B1 Contamination in Livestock Feed and Detection Methods in Ethiopia.
Synthesis in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Application of Machine Learning in Food Safety Risk Assessment.Foods (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aflatoxin B1 (AFB1) contamination in Ethiopian livestock feed poses significant risks to both animal and human health due to poor hygiene and inadequate storage practices. This study focuses on specific cereal grains, such as maize and groundnuts, which are commonly used in livestock feed but have been underexplored in terms of their role in AFB1 contamination, especially under local farming and storage conditions. A literature search was conducted from June 2024 to November 2024, utilizing databases like Google Scholar and African Journals Online. Articles were screened on the basis of titles and abstracts, with duplicates removed using EndNote. Only English-language publications from 2000 onwards were included. Quality assessment adhered to Centre for Reviews and Dissemination (CRD) and Cochrane guidelines, and statistical analysis was performed using Statistical Package for the Social Sciences (SPSS). Non-English studies were excluded to focus on accessible research for Ethiopian stakeholders, ensuring the relevance of findings. Out of 96 retrieved works, 79 remained after eliminating duplicates and pre-2000 studies. After screening, 30 full-text articles were assessed, resulting in 16 exclusions. Ultimately, 14 studies, primarily cross-sectional, qualified for review. AFB1 contamination levels varied widely, from 2.4% to 100%, across different regions in Ethiopia. This study underscores the urgent need for robust monitoring and interventions to combat AFB1 contamination in Ethiopian livestock feed. Analysis of covariance (ANCOVA) analysis revealed significant differences in contamination levels based on detection methods, highlighting the need for standardized approaches to ensure consistency in reported findings. This study underscores the urgent need for robust monitoring and interventions to combat AFB1 contamination in Ethiopian livestock feed. Standardized detection methods and aligning Ethiopia's regulations with international standards like Codex Alimentarius are essential for safeguarding public and animal health.
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